 Connection
Travis Redd to Ulcer
This is a "connection" page, showing publications Travis Redd has written about Ulcer.
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Connection Strength |
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0.242 |
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Kogachi K, Lalitha P, Prajna NV, Gunasekaran R, Keenan JD, Campbell JP, Song X, Redd TK. Deep Convolutional Neural Networks Detect no Morphological Differences Between Culture-Positive and Culture-Negative Infectious Keratitis Images. Transl Vis Sci Technol. 2023 01 03; 12(1):12.
Score: 0.190
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Rosenberg CR, Prajna V, Srinivasan MK, Lalitha PC, Krishnan T, Rajaraman R, Venugopal A, Acharya N, Seitzman GD, Rose-Nussbaumer J, Woodward MA, Lietman TM, Campbell JP, Keenan JD, Redd TK. Locality is the strongest predictor of expert performance in image-based differentiation of bacterial and fungal corneal ulcers from India. Indian J Ophthalmol. 2024 04 01; 72(4):526-532.
Score: 0.052
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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